When production runs in the billions, the math on a fraction-of-a-percent escape changes fast. Lumafield gives P&G's PD&E, packaging, and quality teams the visibility to find problems at the line, not in the field.
Consumer goods run at a scale that changes the arithmetic on quality. A seal that fails at 1 in 10K looks like a rounding error until you're running 50M units a year. Then it's 5K failures, each one a potential complaint, return, or product hold that costs more than any inspection program.
A single packaging quality event can run to hundreds of thousands of dollars. Inspection investment is a fraction of that exposure.
What changes with Lumafield is the quality of the evidence. Sampling and end-of-line visual checks tell you something went wrong. Lumafield tells you where, when, and why.
The product categories P&G's PD&E and quality teams see most often, and the internal geometries that surface inspection can't reach.
Seal integrity, child-resistant mechanism function, and dimensional conformance, invisible to visual inspection, consequential at volume.
Pump and trigger mechanisms, internal valve geometry, and spray nozzle alignment carry tight tolerances inside small assemblies that only internal inspection can verify.
Wall thickness variation, voids, and structural integrity under fill pressure are measurable only when you can see inside the part.
Seam quality and crimp integrity in aluminum cans are critical to product safety and shelf life, non-hermetic seals are not always detectable from the outside.
L'Oréal's Packaging Qualification Lab uses Lumafield CT to qualify new designs and suppliers across the group's global brand portfolio. In one NPD program, a bottle and cap assembly was leaking after inspection, but every individual component passed dimensional checks. A CT scan found the cause in seconds: a 100-micron indentation inside the bottle's neck, invisible to a plug gauge and visible in the first scan. The team used that finding to iterate the design directly, bypassing months of further tooling cycles.
Standard can-seam inspection requires destructive testing every four hours per line, consumes 90 minutes of labor per shift, and still completes only half of required checks. After one $500K loss event, the case for multi-site automated inspection was clear.
Read the case study →During a lightweighting exercise, a design change caused a pull-test failure no conventional method could explain. With outsourced CT, the team faced a 3-week wait. With Lumafield in-house, they went from failed test to root cause in 3 days, and iterated the design before committing to tooling.
Read the case study →This manufacturer previously outsourced CT at a 14-day average turnaround. Bringing inspection in-house reduced the cycle to approximately one hour. At 500 planned scans per year, the avoided outsource cost totals an estimated $425,000 annually.
Read the case study →Four products that cover P&G's full quality stack — from R&D resolution and engineering visibility, through supplier qualification at volume, all the way to 100% inline inspection on the line.
Gives R&D and quality engineering teams the resolution to interrogate internal geometry on dispensing components, packaging construction, and precision assemblies, on demand, in-house, the same day a question arises.
Explore Neptune →Every scan in a shared, searchable platform engineers, quality professionals, and supplier partners can access from any site. Standardized inspection workflows run consistently across global plants. Findings flow into PLM, QMS, and MES.
Explore Voyager →High-throughput CT for new product introduction and supplier qualification. Thread engagement, mold variation, and internal geometry validated at volume, before tooling is committed or supplier lots are accepted.
Explore Triton →Real-time pass/fail on every unit on the line at up to 5 parts per second, fast enough for closures, caps, and packaging components at full production throughput. Problems stop at the line, not at the customer.
Explore Mars →Every Lumafield deployment follows the same logic: find what others miss, understand it completely, and act on it before the next run begins.
Inline X-ray and CT surface seal failures, dimensional variation, and internal defects that aren't reachable from the outside. Every unit at production speed, or every lot at qualification, with the specificity to act on what you find rather than just know it's there.
Voyager links inspection evidence to process context, so engineers can trace a failure upstream, to the mold, the supplier lot, the line parameter, the seamer head. Start with what failed; root cause to when it started and how to fix it.
Findings flow into corrective action, process change, and supplier feedback through PLM, QMS, and MES. Complete visibility leads to better outcomes on subsequent production runs.
Most CPG quality escapes aren't random. They have a pattern, a location in the process, and a cause that inspection could have found. Tell us about your closure, fill, or assembly challenge — we'll scan a sample, walk your team through the result in Voyager, and you'll know whether it's worth a deeper conversation.
Browse the Voyager scan gallery. Spin a closure, a pump, a battery, a can seam.
Open the gallery →Our deep-dive on what industrial CT actually changes for manufacturing quality teams.
Read the article →Engineering conversations on the math of quality at production scale.
Listen now →L'Oréal, beverage majors, rigid packaging — outcomes from the customers above.
See all stories →